NDSSL Projects

NDSSL’s projects cover many areas and range in scope  from foundational to applied projects. Many past and current  projects are tied directly to grants while other projects span multiple grants and application domains. This page lists current and completed grants. For a list of research and research area, please visit the research page.

Currently Funded Projects

Defense Threat Reduction Agency (DTRA)

The goal of the research under this grant is to develop a rigorous methodology for verification and validation (V&V) of agent-based models used to represent real-world socio-technical networked systems. Results are derived using mathematical, computational and statistical techniques, and will allow for improved confidence in the simulation-based predictions using such systems.

The goal of this project is to research and develop computational decision support platforms for complex socio-technical systems.

National Institutes of Health (NIH)

This project will develop tools that assist public health decision makers address issues related to surveillance and detection, dynamics of infectious diseases, response strategies, and behavior.

The major goal of this award is to develop a mathematical/computational model of the mucosal immune system that allows researchers to run in silico simulations prior to immunology-related animal experimentation.

National Science Foundation (NSF)

The goal of the project is to incorporate into the science DMZ additional infrastructure to support domain-specific communities for managing, disseminating, and working with large scientific data.

The goal of this project is to study the foundations of policy design for controlling epidemics, using a broad class of epidemic games on complex networks involving uncertainty in network information, temporal evolution and learning.

The research will develop a cyberinfrastructure middleware (CINET) to support Network Science.

The goals of this project are: (i) Developing methods to construct synthetic relational networks using partial and noisy data; (ii) Understanding the structure of these networks and the contagion processes, and especially important network properties and typical patterns that have an impact on the dynamics of contagion; (iii) Developing techniques to control the spread of contagion processes, and to detect, prevent and arrest cascading failures in coupled socio-technical networks; (iv) Understanding the co-evolution between the networks and dynamics, and using this to refine their models, and the strategies to control them.

The goal of this project is to examine the theoretical foundations of cross-layer optimization in Cognitive Radio Networks in the Physical interference model, which is considered a much better approximation of interference than disk based models.

Department of Energy (DOE)

The focus of this research is the algorithmic and computational foundations of diffusion on complex networks.

Intelligence Advanced Research Projects Activity (IARPA)

The goal of this project is to automate the analysis of open source information, especially social media, for predicting significant social events such as disease outbreaks, civil unrest, and market moves.

Earlier Funded Projects

DTRA

  • Research & Development: High Performance Computing Methods for Inference State Assessment, HDTRA1-09-1-0017
  • Comprehensive National Incident Management System, HDTRA1-07-C-0113
  • VT Counter CSC, HDTRA1-04-D-0021

NIH

  • National Institute of General Medical Sciences: Modeling Disease Dynamics on large, detailed, co-evolving networks, 2U01GM070694-07

NSF

Investigators will develop MTML-Sim: a Multi-Theory Multi-Level (MTML) modeling framework, operating over extremely large dynamic socio-technical networks, in which multiple contagions and behaviors are simultaneously co-evolving by repeated interactions.  MTML-Sim will provide practical methods to support academic researchers as well as policy makers before and during large-scale cascades caused by the spread of contagion.

The research project will make available, on the Blue Waters computing system, computational tools and environments for social and biological research involving interacting automata at nodes of very large social contact network or interaction graphs.

  • Collaborative Research: Capacity Estimation and Cross-Layer-Award Protocols for Wireless Networks, CNS-0626964
  • Networking Technology and Systems, CNS-0831633
  • Human and Social Dynamics, SES-0729441
  • Collaborative Research: NECO: A Market Driven Approach to Dynamic Spectrum Sharing,  CNS-0831633

The main objective of this research is to build a realistic DSA architecture for cellular networks supported by appropriate market mechanisms in an integrated fashion that is both technically and economically viable and efficient. Regulatory bodies all over the world are exploring deregulation of spectrum access to counter the inefficiencies in the current practice of peak usage-based static spectrum allocation. The broad goal is to allow flexible dynamic spectrum access (DSA) in a broad range of spatio-temporal scale. The advent of programmable radios and wideband RF front ends provide a technology impetus to this trend. For DSA to fullfil its promise of economic and societal impact, wireless services based on DSA must be commercially successful, and a tangible spectrum market must evolve that can be supported by technology.

DOE

  • The Pennsylvania State University, DOE-NETL FY 2010 Energy Efficient Building Systems Regional Innovations Cluster Initiative, DE-EEE0004261; 4345-VT-DOE-4261

Other

  • Lawrence Livermore National Laboratory Fellowship
  • Navel Surface Warfare Center: NSWC – TO13 – Wireless Distributed Computing Concept to Reality, N00178-09-D-3017 DO 13
  • Swiss Tropical & PHI: A Stochastic Simulation Platform for Redirecting the effects of Different Malaria Intervention Strate